Context

Trust requires that the trusted person understands the full situation — not just the task they were asked to execute, but the larger context in which that task matters.

Consider the difference between two scenarios. In the first, a manager tells an employee to reorganize the filing system. The employee does exactly what they were told. In the second, a manager tells the same employee to reorganize the filing system, and the employee understands why: the old system is making it hard for new team members to onboard, and it is slowing down client responses. The employee, understanding this context, organizes the system in a way that solves the real problem.

In both cases, the task was completed. In the second case, the work was informed by trust. The manager trusted the employee to understand what actually mattered and to adjust their approach accordingly. The employee was not just executing a task; they were solving a problem they understood.

An AI system works entirely by executing tasks. It can be given a prompt, and it will produce output. But it cannot understand the full context in which that output will be used. It cannot know whether the goal it was given is actually the right goal. It cannot sense whether the situation has changed in a way that makes the original instruction obsolete. It cannot care whether the output is being used in a way that was not intended. Context requires judgment, and judgment requires caring about the actual outcome, not just executing the specified task.